Monthly Archives: September 2017

The music of Les Mills Body Pump, with Spotify data

September 30, 2017
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The music of Les Mills Body Pump, with Spotify data

I am a runner but also a Body Pump enthusiast. Body Pump is a group fitness class of the Les Mills company, in which you train different muscle groups using a weighted bar – whose total weight you modulate with plates in order to adapt it to your fit...

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Identify & Analyze Web Site Tech Stacks With rappalyzer

September 30, 2017
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Identify & Analyze Web Site Tech Stacks With rappalyzer

Modern websites are complex beasts. They house photo galleries, interactive visualizations, web fonts, analytics code and other diverse types of content. Despite the potential for diversity, many web sites share similar “tech stacks” — the components that come together to make them what they are. These stacks consist of web servers (often with special capabilities),... Continue reading →

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Data.Table by Example – Part 3

September 30, 2017
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Data.Table by Example – Part 3

For this final post, I will cover some advanced topics and discuss how to use data tables within user generated functions. Once again, let’s use the Chicago crime data. Let’s start by subseting the data. The following code takes the first 50000 rows within the dat dataset, selects four columns, creates three new columns pertaining

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tidytext 0.1.4

September 29, 2017
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tidytext 0.1.4

I am pleased to announce that tidytext 0.1.4 is now on CRAN! This release of our package for text mining using tidy data principles has an excellent collection of delightfulness in it. First off, all the important functions in tidytext now support supp...

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The Kelly Criterion — Does It Work?

September 29, 2017
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The Kelly Criterion — Does It Work?

This post will be about implementing and investigating the running Kelly Criterion — that is, a constantly adjusted Kelly Criterion … Continue reading →

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R 3.4.2 is released (with several bug fixes and a few performance improvements)

September 29, 2017
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R 3.4.2 is released (with several bug fixes and a few performance improvements)

R 3.4.2 (codename “Short Summer”) was released yesterday. You can get the latest binaries version from here. (or the .tar.gz source code from here). As mentioned by David Smith, R 3.4.2 includes a performance improvement for names: c() and unlist() are now more efficient in constructing the names(.) of their return value, thanks to a proposal by Suharto Anggono. (PR#17284) The full list of bug … Continue reading "R...

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Convert hand-drawn equations to LaTeX with the mathpix package

September 29, 2017
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Statistics involves a lot of mathematics, so one of the nice things about report-generation systems for R like Rmarkdown is that it makes it easy to include nicely-formatted equations by using the LaTeX syntax. So, if we want to include the density function of the Guassian Normal distribution: $$ \frac{1}{{\sigma \sqrt {2\pi } }} e^ { - \frac{ -...

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Real time Yelp reviews analysis and response solutions for restaurant owners

September 29, 2017
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Real time Yelp reviews analysis and response solutions for restaurant owners

Motivation Before trying a new restaurant, we frequently consult with review platforms, such as Yelp, Zomato, or Google, where we can read comments from previous diners. The post Real time Yelp reviews analysis and response solutions for restaurant owners appeared first on NYC Data Science Academy Blog.

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Real time Yelp reviews analysis and response solutions for restaurant owners

September 29, 2017
By
Real time Yelp reviews analysis and response solutions for restaurant owners

Motivation Before trying a new restaurant, we frequently consult with review platforms, such as Yelp, Zomato, or Google, where we can read comments from previous diners. The post Real time Yelp reviews analysis and response solutions for restaurant owners appeared first on NYC Data Science Academy Blog.

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bupaR: Business Process Analysis with R

September 29, 2017
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bupaR: Business Process Analysis with R

Organizations are nowadays storing huge amounts of data related to various business processes. Process mining provides different methods and techniques to analyze and improve these processes. This allows companies to gain a competitive advantage. Process mining initiated with the discovery … Continue reading →

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